Calliope Athena Dendrou

This paper introduces scTAPAS, a method to reconstruct donor genotypes from scRNA-seq data, enabling eQTL and HLA-TCR analysis without conventional genotyping.

This study identifies distinct transcriptional states of T cells in draining lymph nodes after influenza vaccination in individuals with African or Asian ancestry using scRNA-seq.

This study uses single-cell and spatial transcriptomics to analyze immune responses in non-human primates after retinal gene therapy, identifying persistent immune infiltration and cytokine-driven inflammation.

This study examines immune responses in ancestrally diverse individuals after influenza vaccination, finding that draining lymph nodes show rapid activation and specific cellular changes.

This study uses ex vivo human lymph node slices to investigate immune responses to a vaccine adjuvant, identifying IL-1β secretion as TLR4-dependent and highlighting roles for innate lymphoid and stromal cells.

The paper identifies disease-specific genetic regulation of gene expression in immune cells during COVID-19 infection using single-cell eQTL mapping.

This study identifies CD4+ tissue-resident memory Th17 (TRM17) cells as the main source of IL-17A in SpA synovium, showing their role in disease pathology and potential as therapeutic targets.

hadge combines hashing and genotype-based deconvolution methods to recover previously discarded cells in single-cell data.

Panpipes provides computational workflows for multiomic single-cell and spatial transcriptomic analysis, enabling quality control, preprocessing, integration, clustering, and reference mapping.

The paper identifies disease-specific biochemical and metabolic signatures in progressive multiple sclerosis using multiomic profiling and spatial techniques.

Photizo is an open-source Python library for analyzing FTIR spectroscopy data, offering pre-processing, visualization, and analysis tools for both non-spatial and spatially-resolved datasets.

The paper develops a platform combining ATAC-seq, DNaseI footprints, NG Capture-C, and machine learning to identify causal variants and genes for polygenic human traits.

This study systematically classifies shared genetic risk components across common human diseases using UK Biobank data, revealing molecular connectivity with clinical implications.

This paper develops a Bayesian framework to analyze genetic associations with healthcare phenotypes in the UK Biobank, identifying over 2,000 diagnostic term associations and novel immune-mediated disease links.